| .基于规则提取量的Web日志关联规则挖掘方法* |
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| 引用本文： | 符保龙. .基于规则提取量的Web日志关联规则挖掘方法*[J]. 计算机应用研究, 2010, 27(2): 500-502. DOI: 10.3969/j.issn.1001-3695.2010.02.026 |
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| 作者姓名： | 符保龙 |
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| 作者单位： | 柳州职业技术学院,广西,柳州,545006 |
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| 基金项目： | 国家科技型中小企业技术创新基金资助项目(07C26224501847)；广西教育厅科研基金资助项目 (200808LX242) |
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| 摘 要： | 引入规则提取量的度量标准，提出一种基于免疫多克隆遗传策略的Web日志关联规则挖掘方法。该算法在遗传算法的基础上引入免疫多克隆算子，有效地克服了遗传算法容易陷入局部最优的缺点，具有更强的全局与局部搜索能力。实验结果表明，该算法能高效地解决Web日志关联规则挖掘问题。
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| 关 键 词： | Web日志挖掘； 关联规则 遗传算法； 规则提取量； 免疫多克隆算法 |
Web log association rules mining method based on rule extraction number |
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| FU Bao-long. Web log association rules mining method based on rule extraction number[J]. Application Research of Computers, 2010, 27(2): 500-502. DOI: 10.3969/j.issn.1001-3695.2010.02.026 |
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| Authors: | FU Bao-long |
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| Affiliation: | (Liuzhou Vocational Technological College, Liuzhou Guangxi 545006, China) |
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| Abstract: | The paper combined with the rule extraction number, brought forward a method of mining Web log association rule based on immune poly-clonal genetic strategy. The algorithm based on genetic algorithm introduced polyclonal immune operator, it effectively overcame the genetic algorithm vulnerable to the shortcomings of local optimum, and the global and local search capability was stonger. The experimental results show that the algorithm can efficiently solve the Web log association rule mining problem. |
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| Keywords: | Web log mining association rules genetic algorithm rules extraction number immune poly-clonal algorithm |
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